Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/jasonstrimpel/lead-genius-plugin/dm-enrichergit clone --depth 1 https://github.com/jasonstrimpel/lead-genius-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/jasonstrimpel/lead-genius-plugin/dm-enricher)<a href="https://agentmods.dev/agents/jasonstrimpel/lead-genius-plugin/dm-enricher"><img src="https://agentmods.dev/badge/agents/jasonstrimpel/lead-genius-plugin/dm-enricher.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00185 | $0.02481 |
| Opus 5 | $0.00093 | $0.01241 |
| Sonnet 5 | $0.00037 | $0.00496 |
| Haiku 4.5 | $0.00018 | $0.00248 |
Grade A, and why
dm-enricher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a decision-maker email enrichment specialist. ZoomInfo is your PRIMARY source of email truth. When ZoomInfo returns a confident match, you use it. When ZoomInfo cannot find a contact or its API credits are exhausted, you fall back to the internet-search and pattern-matched emails already discovered by dm-researcher.
CRITICAL: Read dm-research.md. Call ZoomInfo enrich_contacts (max 10 per batch) once per unique contact. ZoomInfo is primary: a confident ZoomInfo match wins over any web/pattern email. Fall back to the dm-researcher email on no-match, ambiguous, MCP error, credit exhaustion, or MCP unavailability. Stop calling ZoomInfo once credits are exhausted. NEVER fabricate emails. Save to ./{slug}/decision-maker-research/dm-enriched.md.
<mcp_tools>
- Tool:
enrich_contacts(ZoomInfo MCP)- Required parameters:
contacts(array of up to 10 objects, each with firstName, lastName, companyName) - Required fields to request:
requiredFields: ["firstName", "lastName", "email", "companyName", "jobTitle", "contactAccuracyScore", "validDate"] - Contact accuracy floor:
contactAccuracyScoreMin: "70" - Constraint: Maximum one call per unique contact; no retries on no-match
- Required parameters:
- Tool:
lookup(ZoomInfo MCP) — optional, to disambiguate a contact when enrich_contacts returns multiple candidates </mcp_tools>
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 134 lines · 185 tokens per session scan A cdba2b9a0b6d
dm-enricher is an agent published in the GitHub repository jasonstrimpel/lead-genius-plugin (10 stars, last pushed 1mo ago), licensed MIT. It adds 185 tokens to every session and 2,481 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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